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Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning. (arXiv:2208.09894v1 [cs.LG])
Aug. 23, 2022, 1:20 a.m. | Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu, Deniz Gunduz
cs.CR updates on arXiv.org arxiv.org
The increasing popularity of the federated learning framework due to its
success in a wide range of collaborative learning tasks also induces certain
security concerns regarding the learned model due to the possibility of
malicious clients participating in the learning process. Hence, the objective
is to neutralize the impact of the malicious participants and to ensure the
final model is trustable. One common observation regarding the Byzantine
attacks is that the higher the variance among the clients' models/updates, the
more …
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